A Technology for BigData Analysis Task Description using Domain-Specific Languages
Distributed, Parallel, and Cluster Computing
2016-03-21 v1 Databases
Programming Languages
Abstract
The article presents a technology for dynamic knowledge-based building of Domain-Specific Languages (DSL) to describe data-intensive scientific discovery tasks using BigData technology. The proposed technology supports high level abstract definition of analytic and simulation parts of the task as well as integration into the composite scientific solutions. Automatic translation of the abstract task definition enables seamless integration of various data sources within single solution.
Keywords
Cite
@article{arxiv.1404.4821,
title = {A Technology for BigData Analysis Task Description using Domain-Specific Languages},
author = {Sergey V. Kovalchuk and Artem V. Zakharchuk and Jiaqi Liao and Sergey V. Ivanov and Alexander V. Boukhanovsky},
journal= {arXiv preprint arXiv:1404.4821},
year = {2016}
}
Comments
To appear in Proceedings of the International Conference on Computational Science (ICCS) 2014